How to build a data management platform that accelerates delivery

A data management platform, or data warehouse, may mean different things to different information consumers. In practice, data warehousing covers a broad spectrum of capabilities ranging from predefined reports to self-service queries, interactive analyses and complex predictive analytics. These applications are used by operational managers, business analysts, statisticians and data scientists.

As a result, they are bound to have different functional and system requirements for data accessibility, analysis, and complex algorithms.

A data management platform strategy to accelerate results

An effective strategy for a data management platform will allow the data warehouse team to quickly determine the resource requirements and the required utilities to address customers’ needs.

Fitting the data warehouse platform to specific business purposes, rather than seeing it as a single system to support mixed workloads is a must. For example, routine, periodic, and canned reports may be suited to an established dimensional star-schema data mart. While predictive modelling applications might be better suited to a specialty high-performance analytics engine that can handle massive data volumes and parallel computation.

A cloud-based approach provides nimbleness in deployment. When a service provider manages a cloud data warehouse, it helps with the schema and data loading. This frees the data warehouse team to concentrate on the analysis and the results instead of building the system.

The initial projects targeted to a cloud deployment often have tightly-scoped requirements.

Examples include:

short-lived projects

seasonal analyses

analyses that are relevant for a short time

limited self-service reporting systems

prototyping new reports and analyses

For such projects, using a cloud-based data warehouse provides specific business value because there is no need to design, develop, and deploy the platform and data management framework. Aside from reducing the start-up costs, this accelerates analysis and reduces ongoing maintenance costs.

Cloud-based data warehouses can give your organisation flexibility and agility for your data needs. Datasync are experts in data warehouse design and can help you to extend your data warehouse platform to the cloud. Contact us to see how we can assist you.

Read why businesses are choosing a hybrid database strategy

Find out why in The Hybrid Data Warehouse: Fluid, Flexible and Formidable report.